Field CTO

Job Description

As Blend's Databricks Field CTO, you will help grow our Databricks business across North America, combining executive advisory, technical pre-sales, and architecture leadership. You will work with Blend Client Partners, Business Development leaders, and Databricks field teams to identify opportunities, shape engagements, and help clients translate their data and AI ambitions into production solutions.

You will serve as a senior technical authority for Databricks engagements, guiding platform decisions and helping delivery teams navigate complex architecture, integration, governance, and operational challenges. Internally, you will work with architects, data engineers, and AI practitioners globally to establish standards, strengthen technical capabilities, and develop reusable solutions and accelerators.

Responsibilities

• Partner with Blend's Client Partners and Business Development leaders to shape Databricks opportunities, including discovery, proposals, architecture workshops, demonstrations, and hands-on labs.
• Translate client priorities into solution architectures, delivery roadmaps, effort estimates, and business outcomes.
• Design architectures spanning lakehouse modernization, batch and streaming data engineering, analytics, machine learning, and generative and agentic AI.
• Establish approaches for governance, security, data quality, interoperability, performance, and cost management.
• Guide critical architecture decisions and validate proposed solutions against enterprise scale, reliability, security, and operational requirements.
• Help clients move from experimentation to production with appropriate evaluation, monitoring, deployment, and support practices.
• Mentor architects and engineers, support technical hiring, and help build a collaborative Databricks community within Blend.
• Advise client CTOs, CIOs, CDOs, and business leaders on data and AI strategy, platform modernization, and adoption priorities.
• Represent Blend in client workshops, partner discussions, and relevant industry events.

Qualifications

• 15+ years of experience in data, platform, or cloud architecture, including at least five years focused on Databricks, modern data platforms, or related solution engineering and technical pre-sales.
• Deep hands-on Databricks experience, with a track record of designing and delivering enterprise production solutions.
• Strong expertise in Apache Spark, Delta Lake, Unity Catalog, Databricks SQL, and batch and streaming architectures, with practical Python and SQL skills.
• Experience with Databricks data engineering and orchestration capabilities, including Lakeflow.
• Hands-on experience designing and delivering AI and agentic solutions on Databricks.
• Strong cloud architecture experience on AWS, Microsoft Azure, or Google Cloud.
• Experience leading data platform migrations or modernization programs.
• Demonstrated success working alongside sales teams and engaging directly with senior client executives.
• A background in consulting, professional services, or an embedded technology partner role.

Preferred

• Relevant Databricks professional certifications, including data engineering, machine learning, or generative AI.
• Experience with enterprise governance, data sharing, federation, and open table formats.
• Familiarity with Databricks partner programs, Marketplace, and the development of repeatable industry solutions.

Additional Information

The starting pay range for this role is $260k - $275k. Actual compensation within the range will be dependent on several factors including relevant experience, skills, certifications, training, and location. Blend360 offers a competitive benefits program that may include medical, dental, and vision coverage, a 401(k) plan, paid time off, paid holidays, commuter benefits, flexible spending accounts, life and disability insurance, and employee assistance programs.